most citedUniTEX: Universal High Fidelity Generative Texturing for 3D Shapes

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cs.CV2025★ 1 cited

UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes

Yixun Liang, Kunming Luo, Xiao Chen +5

We present UniTEX, a novel two-stage 3D texture generation framework to create high-quality, consistent textures for 3D assets. Existing approaches predominantly rely on UV-based i…

cs.CV2025★ 1 cited

Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets

Weiyu Li, Xuanyang Zhang, Zheng Sun +15

While generative artificial intelligence has advanced significantly across text, image, audio, and video domains, 3D generation remains comparatively underdeveloped due to fundamen…